from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np
import tensorflow as tf
import time
import data_helpers

learning_rate = 0.05
batch_size = 100
max_step = 2000

data_sets = data_helpers.load_data()

images_placeholder = tf.placeholder(tf.float32, [None, 32*32*3])
labels_placeholder = tf.placeholder(tf.int64, [None])

weights = tf.Variable(tf.zeros([32*32*3, 10]))
bias = tf.Variable(tf.zeros([10]))

logits = tf.matmul()
